Objective:To develop and validate a diagnostic model for pancreatic benign and malignant tumors using radiomics technology.Methods:A retrospective analysis was conducted on the clinical data of 113 patients with pancreatic tumors who underwent surgical treatment at the Hepatobiliary and Pancreatic Surgery Departments of the Second Hospital and the First Hospital of Hebei Medical University from January 2020 to December 2022. There were 59 male and 54 female patients, aged (55.3±16.8) years. Preoperative enhanced thin-slice computed tomography (CT) data and postoperative pathological diagnosis results were collected. Data from 74 patients at the Second Hospital were selected, and according to the random classification principle of 7∶3, the data of 52 patients were determined as the training set for model construction, while the remaining 22 patients' data served as the internal validation set. Data from 39 patients at the First Hospital of Hebei Medical University were used as the external validation set to assess the generali-zability of the established model. The region of interest in the lesions on CT images was analyzed using three-dimensional radiomics feature extraction, and the top 5 features were selected using feature selection methods. Radiomics models were established for the selected features using 17 classifiers. The performance of the models was evaluated using the area under curve (AUC) of the receiver operating characteristic (ROC).Results:Two hundred and fifty-five models were established with 15 feature selection methods and 17 classifiers. 7 models with the AUC greater than 0.7 were selected, among which the best one was LASSO-K neighbors classifier model, constructed using the LASSO feature selection method and the k-nearest neighbors algorithm, achieving AUC values of 0.933 (95% CI: 0.859-0.984) in the training set, 0.973 (95% CI: 0.896-1.000) in the validation set, and 0.774 (95% CI: 0.624-0.908) in the external validation set, with satisfactoryclassification and generalization ability. Conclusion:The radiomics-based diagnostic model for pancreatic benign and malignant tumors can effectively distinguish the benignancy and malignancy of tumors. The LASSO-K neighbors classifier model demonstrated high accuracy and reliability in this study.

Objective To compare the early clinical efficacy and safety of transapical transcatheter aortic valve implantation (TA-TAVI) with surgical aortic valve replacement (SAVR) in patients with severe aortic stenosis (AS). Methods A retrospective study was conducted on patients with severe AS admitted to the Department of Cardiovascular Surgery, The First Affiliated Hospital of University of Science and Technology of China from January 2020 to March 2024. According to the surgical method, patients were divided into a SAVR group and a TA-TAVI group, and the clinical data of the two groups were compared. Results A total of 71 patients were included, with 45 in the SAVR group, including 33 males and 12 females, aged 16-75 (60.89±10.88) years; 26 in the TA-TAVI group, including 15 males and 11 females, aged 61-83 (72.85±5.53) years. The results showed that postoperative aortic valve transvalvular flow velocity [(2.31±0.38) m/s vs. (2.60±0.50) m/s, P=0.019] and transvalvular pressure gradient [(21.09±6.03) mm Hg vs. (28.20±10.79) mm Hg, P=0.001] in the TA-TAVI group were lower than those in the SAVR group. In terms of left ventricular end-diastolic diameter, both preoperative [(56.73±7.74) mm vs. (52.36±7.00) mm, P=0.017] and postoperative [(52.61±7.18) mm vs. (48.04±4.78) mm, P=0.010] values in the TA-TAVI group were larger than those in the SAVR group. In terms of left ventricular ejection fraction, the preoperative value in the TA-TAVI group was lower than that in the SAVR group (58.00%±13.84% vs. 64.87%±7.63%, P=0.026), but there was no statistical difference between the two groups after surgery (P=0.670). The operation time and drainage volume on the first day after surgery in the TA-TAVI group were shorter or lower than those in the SAVR group (P<0.05). There was no statistical difference between the two groups in the postoperative hospital stay, ICU stay, or postoperative mechanical ventilation time (P>0.05). In addition, no serious complications occurred in patients after SAVR, while perivalvular leakage (2 patients), third-degree atrioventricular block (1 patient), and death (3 patients) occurred in the TA-TAVI group. Conclusion For elderly patients with severe AS and poor cardiac function, TA-TAVI technology has minimal surgical trauma, high safety and effectiveness, and is a safe and effective treatment option besides traditional surgical operations.

Acute respiratory distress syndrome(ARDS)is a common respiratory emergency,but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures.Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS,but the application of hydrogen has flammable and explosive safety concerns.Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance,thus improving ARDS in patients and animal models.Coral calcium hydrogenation(CCH)is a new solid molecular hydrogen carrier prepared from coral calcium(CC).Whether and how CCH affects acute lung injury in ARDS re-mains unstudied.In this study,we observed the therapeutic effect of CCH on lipopolysaccharide(LPS)induced acute lung injury in ARDS mice.The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable,demonstrating a significant improvement compared to the untreated ARDS model group.CCH treatment significantly reduced pulmonary hemorrhage and edema,and improved pulmonary function and local microcirculation in ARDS mice.CCH promoted mitochon-drial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2(Trx2),improved lung mitochondrial dysfunction induced by LPS,and reduced oxidative stress damage.The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Acute respiratory distress syndrome (ARDS) is a common respiratory emergency, but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures. Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS, but the application of hydrogen has flammable and explosive safety concerns. Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance, thus improving ARDS in patients and animal models. Coral calcium hydrogenation (CCH) is a new solid molecular hydrogen carrier prepared from coral calcium (CC). Whether and how CCH affects acute lung injury in ARDS remains unstudied. In this study, we observed the therapeutic effect of CCH on lipopolysaccharide (LPS) induced acute lung injury in ARDS mice. The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable, demonstrating a significant improvement compared to the untreated ARDS model group. CCH treatment significantly reduced pulmonary hemorrhage and edema, and improved pulmonary function and local microcirculation in ARDS mice. CCH promoted mitochondrial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2 (Trx2), improved lung mitochondrial dysfunction induced by LPS, and reduced oxidative stress damage. The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Hepatocellular carcinoma(HCC)is the most common type of liver cancer and a leading cause of cancer-related deaths worldwide.While early detection significantly improves prognosis,patients with alpha-fetoprotein-negative hepatocellular carcinoma(ANHCC)often face diagnostic challenges due to the lack of reliable biomarkers.This review systematically explores the potential of various circulating biomarkers in the early diagnosis of ANHCC,including AFP-L3,PIVKA-Ⅱ,lymphocyte-to-monocyte ratio,exosomes,circulating cell-free DNA(cfDNA),circulating tumor cells,osteopontin,paraoxonase 1,autoantibodies,and RNA-related biomarkers.The combined use of these markers,particularly AFP-L3 and PIVKA-Ⅱ,demonstrates enhanced diagnostic accuracy and specificity compared to single markers.Emerging evidence also highlights the diagnostic potential of exosomes,cfDNA,and RNA markers due to their non-invasive nature and high stability.Despite promising results,further large-scale,multicenter studies are needed to validate these findings,address challenges such as standardization of detection methods,and elucidate underlying mechanisms.These advances are anticipated to significantly improve early detection and personalized management of ANHCC.

Hepatocellular carcinoma(HCC)is the most common type of liver cancer and a leading cause of cancer-related deaths worldwide.While early detection significantly improves prognosis,patients with alpha-fetoprotein-negative hepatocellular carcinoma(ANHCC)often face diagnostic challenges due to the lack of reliable biomarkers.This review systematically explores the potential of various circulating biomarkers in the early diagnosis of ANHCC,including AFP-L3,PIVKA-Ⅱ,lymphocyte-to-monocyte ratio,exosomes,circulating cell-free DNA(cfDNA),circulating tumor cells,osteopontin,paraoxonase 1,autoantibodies,and RNA-related biomarkers.The combined use of these markers,particularly AFP-L3 and PIVKA-Ⅱ,demonstrates enhanced diagnostic accuracy and specificity compared to single markers.Emerging evidence also highlights the diagnostic potential of exosomes,cfDNA,and RNA markers due to their non-invasive nature and high stability.Despite promising results,further large-scale,multicenter studies are needed to validate these findings,address challenges such as standardization of detection methods,and elucidate underlying mechanisms.These advances are anticipated to significantly improve early detection and personalized management of ANHCC.

Objective:To develop and validate a diagnostic model for pancreatic benign and malignant tumors using radiomics technology.Methods:A retrospective analysis was conducted on the clinical data of 113 patients with pancreatic tumors who underwent surgical treatment at the Hepatobiliary and Pancreatic Surgery Departments of the Second Hospital and the First Hospital of Hebei Medical University from January 2020 to December 2022. There were 59 male and 54 female patients, aged (55.3±16.8) years. Preoperative enhanced thin-slice computed tomography (CT) data and postoperative pathological diagnosis results were collected. Data from 74 patients at the Second Hospital were selected, and according to the random classification principle of 7∶3, the data of 52 patients were determined as the training set for model construction, while the remaining 22 patients' data served as the internal validation set. Data from 39 patients at the First Hospital of Hebei Medical University were used as the external validation set to assess the generali-zability of the established model. The region of interest in the lesions on CT images was analyzed using three-dimensional radiomics feature extraction, and the top 5 features were selected using feature selection methods. Radiomics models were established for the selected features using 17 classifiers. The performance of the models was evaluated using the area under curve (AUC) of the receiver operating characteristic (ROC).Results:Two hundred and fifty-five models were established with 15 feature selection methods and 17 classifiers. 7 models with the AUC greater than 0.7 were selected, among which the best one was LASSO-K neighbors classifier model, constructed using the LASSO feature selection method and the k-nearest neighbors algorithm, achieving AUC values of 0.933 (95% CI: 0.859-0.984) in the training set, 0.973 (95% CI: 0.896-1.000) in the validation set, and 0.774 (95% CI: 0.624-0.908) in the external validation set, with satisfactoryclassification and generalization ability. Conclusion:The radiomics-based diagnostic model for pancreatic benign and malignant tumors can effectively distinguish the benignancy and malignancy of tumors. The LASSO-K neighbors classifier model demonstrated high accuracy and reliability in this study.